Relexi — A scalable open source reinforcement learning framework for high-performance computing
Author:
Publisher
Elsevier BV
Subject
Software
Reference19 articles.
1. Automating turbulence modelling by multi-agent reinforcement learning;Novati;Nat. Mach. Intell.,2021
2. Scientific multi-agent reinforcement learning for wall-models of turbulent flows;Bae;Nature Commun.,2022
3. Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach;Rabault;Phys. Fluids,2019
4. Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control;Rabault;J. Fluid Mech.,2019
5. Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning;Tang;Phys. Fluids,2020
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